Distributed Hash Tables (DHTs) promise to manage huge sets of key-value pairs in a Peer-to-Peer manner. The Content-Addressable Network (CAN) is a prominent variant of DHT. A crit...
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
The automated analysis of Feature Models (FMs) focuses on the usage of different logic paradigms and solvers to implement a number of analysis operations on FMs. The implementatio...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...
Academic publishing faces major challenges such as increasing costs and a reduced subscription base. Electronic publishing promises benefits and solutions to these and other chall...